from PIL import Image
# 图像的手绘
"""黑白风格边界的位置比较重相同或相近色彩趋近于白色咯有光源效果
"""
# 读取彩色图片并转化为np数组
a = np.array(Image.open(r'114362.jpg').convert('L')).astype('float')depth = 10.
grad = np.gradient(a)
grad_x, grad_y = grad
grad_x = grad_x*depth/100
grad_y = grad_y*depth/100
A = np.sqrt(grad_x**2 + grad_y**2 + 1.)
uni_x = grad_x/A
uni_y = grad_y/A
uni_z = 1./Avec_el = np.pi/2.2
vec_ez = np.pi/4.
dx = np.cos(vec_el)*np.cos(vec_ez)
dy = np.cos(vec_el)*np.sin(vec_ez)
dz = np.sin(vec_el)b = 255*(dx*uni_x + dy*uni_y + dz*uni_z)
b = b.clip(0, 255)im = Image.fromarray(b.astype('uint8'))
# 保存转化后的图片
im.save('ceshi.jpg')

原彩色图片：
转化后图片：